Episode

Learn And Automate Critical Business Workflows With 8Flow

Podcast
AI Engineering Podcast
Published
Jan 28, 2024
Duration seconds
2582
Processing state
failed
Canonical source
https://www.aiengineeringpodcast.com/8flow-business-workflow-automation-episode-28
Audio
https://op3.dev/e/dts.podtrac.com/redirect.mp3/serve.podhome.fm/episode/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/63853053862357184893285bc4-3975-462c-9730-58638e233517.mp3
JSON
/v1/public/podcasts/ai-engineering-podcast/episodes/learn-and-automate-critical-business-workflows-with-8flow
Markdown
/podcast/ai-engineering-podcast/learn-and-automate-critical-business-workflows-with-8flow.md

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Summary

Summary Every business develops their own specific workflows to address their internal organizational needs. Not all of them are properly documented, or even visible. Workflow automation tools have tried to reduce the manual burden involved, but they are rigid and require substantial investment of time to discover and develop the routines. Boaz Hecht co-founded 8Flow to iteratively discover and automate pieces of workflows, bringing visibility and collaboration to the internal organizational processes that keep the business running. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Your host is Tobias Macey and today I'm interviewing Boaz Hecht about using AI to automate customer support at 8Flow Interview Introduction How did you get involved in machine learning? Can you describe what 8Flow is and the story behind it? How does 8Flow compare to RPA tools that companies are using today?  What are the opportunities for augmenting or integrating with RPA frameworks? What are the key selling points for the solution that you are building? (does AI sell? Or is it about the realized savings?) What are the sources of signal that you are relying on to build model features? Given the heterogeneity in tools and processes across customers, what are the common focal points that let you address the widest possible range of functionality? Can you describe how 8Flow is implemented?  How have the design and goals evolved since you first started working on it? What are the model categories that are most relevant for process automation in your product? How have you approached the design and implementation of your MLOps workflow? (model training, deployment, monitoring, versioning, etc.)…